| Name | sbvoicedb JSON |
| Version |
0.1.0.dev7
JSON |
| download |
| home_page | |
| Summary | Saarbrueken Voice Database Reader module |
| upload_time | 2023-03-10 22:55:30 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | GPL-2.0 License |
| keywords |
multimedia
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
`sbvoicedb`: Saarbrueken Voice Database Reader module
======================================================
|pypi| |status| |pyver| |license|
.. |pypi| image:: https://img.shields.io/pypi/v/sbvoicedb
:alt: PyPI
.. |status| image:: https://img.shields.io/pypi/status/sbvoicedb
:alt: PyPI - Status
.. |pyver| image:: https://img.shields.io/pypi/pyversions/sbvoicedb
:alt: PyPI - Python Version
.. |license| image:: https://img.shields.io/github/license/tikuma-lsuhsc/python-sbvoicedb
:alt: GitHub
**Warning**
This Python package is not yet published and still under development.
This Python module provides functions to retrieve data and information easily from
Saarbucken Voice Database: http://www.stimmdatenbank.coli.uni-saarland.de/
Install
-------
.. code-block:: bash
pip install sbvoicedb
Examples
--------
.. code-block:: python
from sbvoicedb import sbvoicedb
# to create a database instance
sbvoicedb = sbvoicedb.SbVoiceDb('<path to the root directory of the extracted database>')
# - if no downloaded database data found, it'll automatically download the database (not files)
# to query the recording session entries which are pathological, female, between 50-69 yrs old
df = sbvoicedb.query(T='p', G='w', A=[50,70])
# to get a dataframe of WAV files and start and ending audio sample indices of
# all normal-pitch /a/ segments
df = sbvoicedb.get_files('a_n')
# to get the audio data of /a/ vowel at normal pitch from the recording session 2091
fs, x = sbvoicedb.read_data(2091, 'a_n')
# to iterate over 'a_n' acoustic data of male participants along with aux with age and pathologies
for id, fs, x, auxdata in sbvoicedb.iter_data('a_n',
auxdata_fields=["A","Pathologies"],
G="m"):
# run the acoustic data through your analysis function, get measurements
params = my_analysis_function(fs, x)
# log the measurements along with aux data
my_logger.log_outcome(id, *auxdata, *params)
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